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Optimizing smart manufacturing systems by extending the smart products paradigm to the beginning of life
Journal of Manufacturing Systems ( IF 12.1 ) Pub Date : 2020-10-01 , DOI: 10.1016/j.jmsy.2020.10.001
Juergen Lenz , Eric MacDonald , Ramy Harik , Thorsten Wuest

Abstract The research objective of this work is to enhance the perception of, sensing in, and control of smart manufacturing systems (SMS) by leveraging active sensor systems within smart products during the manufacturing phase. Smart manufacturing utilizes rich process data, usually collected by the SMS (e.g., machine tools), to enable accurate tracking and monitoring of individual products throughout the process chain. However, until now, the to-be-manufactured product itself has not contributed to the sensing and compilation of product and process data. More specifically, data measured from the product’s structure during its own fabrication. In this paper, we discuss and evaluate the opportunity to actively use the capabilities of smart products within a SMS in terms of technical and economic feasibility. This opportunity emerged only recently with the advancements in smart products engineering. In this research, we developed a smart product prototype and evaluated it on a SMS testbed (CPlab) with eight distinct, fully-connected manufacturing processes. The results of the conducted experiments show the possibility to uniquely identify two distinct ‘fingerprints’ of manufacturing processes solely based on data provided by sensors within the smart product itself. The sensor data was collected directly from the smart product before manufacture was completed, yet after the intended sensor functionality during the product’s use phase was activated. The capability to automatically, accurately, and reliably identify process signatures and even inform the optimization of manufacturing parameters creates new opportunities for improvements in quality, scheduling, and seamless transparency across the whole value chain.

中文翻译:

通过将智能产品范式扩展到生命之初,优化智能制造系统

摘要 这项工作的研究目标是通过在制造阶段利用智能产品中的主动传感器系统来增强智能制造系统 (SMS) 的感知、感知和控制。智能制造利用通常由 SMS(例如机床)收集的丰富过程数据,在整个过程链中实现对单个产品的准确跟踪和监控。然而,直到现在,待制造的产品本身并没有对产品和过程数据的感知和汇编做出贡献。更具体地说,是在产品自身制造过程中从产品结构测量的数据。在本文中,我们讨论和评估在技术和经济可行性方面积极使用 SMS 中智能产品功能的机会。随着智能产品工程的进步,这个机会最近才出现。在这项研究中,我们开发了一个智能产品原型,并在 SMS 测试台 (CPlab) 上对其进行了评估,该测试台具有八个不同的、完全连接的制造流程。所进行的实验结果表明,仅根据智能产品本身的传感器提供的数据,就可以唯一地识别制造过程的两个不同“指纹”。传感器数据是在制造完成之前直接从智能产品收集的,但在产品使用阶段的预期传感器功能被激活之后。自动、准确、可靠地识别过程特征,甚至通知制造参数优化的能力为质量改进创造了新的机会,
更新日期:2020-10-01
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